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Yin L, Song TH, Wei YY, Zhang LG, Zhou SJ, Yu JJ, Zhang LY, Li HJ, Chen JX. Relationship Between Affective Temperaments and Suicide Risk in Patients With First-Onset Major Depressive Disorder. Front Psychiatry 2022; 13:893195. [PMID: 35747102 PMCID: PMC9211372 DOI: 10.3389/fpsyt.2022.893195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 05/09/2022] [Indexed: 11/13/2022] Open
Abstract
Background People may endorse suicidal behavior during a major depressive episode. Affective temperaments may play a role in this risk. We explored the relationship between affective temperaments and suicide and identified some traits that can predict suicide risk in depression. Materials and Methods We analyzed the results of the Temperament Evaluation of the Memphis, Pisa, Paris, and San Diego Auto-questionnaire (TEMPS-A) in 284 participants recruited from a psychiatric clinic and the community in Beijing and compared the subscale scores (temperaments of cyclothymic, dysthymic, anxious, irritable, and hyperthymic) among major depressive disorders (MDDs) vs. the general population as well as depressive patients with vs. without suicide risk, using Student's test, chi-square test, rank-sum test, and multivariable regression modeling. Results The incidence of suicidal risk in depressive subjects was 47.62% (80/168). Being unmarried (p < 0.001), unemployed (p = 0.007), and temperaments of dysthymic, cyclothymic, anxious, and irritable scores (all p < 0.001) were significantly more prevalent in patients with depression than in the general population. Young age (p < 0.001), female sex (p = 0.037), unmarried (p = 0.001), more severe depression (p < 0.001), and dysthymic, anxious, and cyclothymic temperament (all p < 0.05) were significantly more prevalent in patients with depressive disorder than those without suicide risk. The logistic regression analysis showed that younger age (odds ratio [OR] = 0.937, 95% CI 0.905∼0.970), female sex (OR = 2.606, 95% CI 1.142∼5.948), more severe depression (OR = 1.145, 95% CI 1.063∼1.234), cyclothymic temperament (OR = 1.275, 95% CI 1.102∼1.475), and dysthymic temperament (OR = 1.265, 95% CI 1.037∼1.542) were all independently associated with high suicidal risk in patients with first-onset major depression (p < 0.05). Conclusion Temperament traits differ between the general population and people suffering from MDD. Subjects with MDD who have much more severe depressive symptoms and a cyclothymic or dysthymic temperament were at a high risk of suicide.
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Affiliation(s)
- Lu Yin
- Beijing Hui-Long-Guan Hospital, Peking University Hui-Long-Guan Clinical Medical School, Beijing, China
| | - Tian-He Song
- Department of Psychology, Chengde Medical University, Hebei, China
| | - Yan-Yan Wei
- Beijing Hui-Long-Guan Hospital, Peking University Hui-Long-Guan Clinical Medical School, Beijing, China
| | - Li-Gang Zhang
- Beijing Hui-Long-Guan Hospital, Peking University Hui-Long-Guan Clinical Medical School, Beijing, China
| | - Shuang-Jiang Zhou
- Beijing Hui-Long-Guan Hospital, Peking University Hui-Long-Guan Clinical Medical School, Beijing, China
| | - Jian-Jin Yu
- Beijing Hui-Long-Guan Hospital, Peking University Hui-Long-Guan Clinical Medical School, Beijing, China
| | - Li-Ye Zhang
- Beijing Hui-Long-Guan Hospital, Peking University Hui-Long-Guan Clinical Medical School, Beijing, China
| | - Hong-Juan Li
- Beijing Hui-Long-Guan Hospital, Peking University Hui-Long-Guan Clinical Medical School, Beijing, China
| | - Jing-Xu Chen
- Beijing Hui-Long-Guan Hospital, Peking University Hui-Long-Guan Clinical Medical School, Beijing, China
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Vuorilehto M, Valtonen H, Melartin T, Sokero P, Suominen K, Isometsä E. Method of assessment determines prevalence of suicidal ideation among patients with depression. Eur Psychiatry 2020; 29:338-44. [DOI: 10.1016/j.eurpsy.2013.08.005] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2013] [Revised: 08/14/2013] [Accepted: 08/24/2013] [Indexed: 10/26/2022] Open
Abstract
AbstractBackgroundHow different ways of assessing suicidal ideation influence its prevalence, correlates and predictive validity among patients with major depressive disorder (MDD) remains unclear.MethodsWithin the Vantaa Primary Care Depression Study (PC-VDS, 91 patients) and the Vantaa Depression Study (VDS, 153 psychiatric out-and 41 inpatients), suicidal ideation was assessed with the Scale for Suicidal Ideation (SSI), Hamilton Depression Scale (HAM-D) item 3 and Beck Depression Inventory (BDI) item 9, and by asking whether patients had seriously considered suicide during the episode. The positive and negative predictive values (PPV, NPV) for suicide attempts during a six-month follow-up were investigated.ResultsDepending on the setting, 56–88% of patients had suicidal ideation in some of the assessments, but only 8–44% in all of them. Agreement ranged from negligible to moderate (kappa 0.06–0.64), being lowest among primary care patients. The correlates of suicidal ideation overlapped. No assessment had optimal sensitivity, specificity, PPV and NPV. Nevertheless, PPVs ranged up to 43%.ConclusionsWhich MDD patient is classified as having suicidal ideation depends strongly on the method of assessment, with the greatest variation likely in primary care. Differences in assessments may cause inconsistency in risk factors. Predicting suicide attempts is difficult, but not futile.
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Ge F, Jiang J, Wang Y, Yuan C, Zhang W. Identifying Suicidal Ideation Among Chinese Patients with Major Depressive Disorder: Evidence from a Real-World Hospital-Based Study in China. Neuropsychiatr Dis Treat 2020; 16:665-672. [PMID: 32184605 PMCID: PMC7061409 DOI: 10.2147/ndt.s238286] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 01/21/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND A growing body of research suggests that major depressive disorder (MDD) is one of the most common psychiatric conditions associated with suicide ideation (SI). However, how a combination of easily accessible variables built a utility clinically model to estimate the probability of an individual patient with SI via machine learning is limited. METHODS We used the electronic medical record database from a hospital located in western China. A total of 1916 Chinese patients with MDD were included. Easily accessible data (demographic, clinical, and biological variables) were collected at admission (on the first day of admission) and were used to distinguish SI with MDD from non-SI using a machine learning algorithm (neural network). RESULTS The neural network algorithm distinguished 1356 out of 1916 patients translating into 70.08% accuracy (70.68% sensitivity and 67.09% specificity) and an area under the curve (AUC) of 0.76. The most relevant predictor variables in identifying SI from non-SI included free thyroxine (FT4), the total scores of Hamilton Depression Scale (HAMD), vocational status, and free triiodothyronine (FT3). CONCLUSION Risk for SI among patients with MDD can be identified at an individual subject level by integrating demographic, clinical, and biological variables as possible as early during hospitalization (at admission).
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Affiliation(s)
- Fenfen Ge
- Mental Health Center of West China Hospital, Sichuan University, Chengdu, Sichuan 610041, People's Republic of China
| | - Jingwen Jiang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, People's Republic of China
| | - Yue Wang
- Mental Health Center of West China Hospital, Sichuan University, Chengdu, Sichuan 610041, People's Republic of China
| | - Cui Yuan
- Mental Health Center of West China Hospital, Sichuan University, Chengdu, Sichuan 610041, People's Republic of China
| | - Wei Zhang
- Mental Health Center of West China Hospital, Sichuan University, Chengdu, Sichuan 610041, People's Republic of China
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4
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Li X, Liu H, Hou R, Baldwin DS, Li R, Cui K, Liu C, Sun Q, Wang G, Tan Q, Xu X, Zhao J, Ning Y, Sun X. Prevalence, clinical correlates and IQ of suicidal ideation in drug naïve Chinese Han patients with major depressive disorder. J Affect Disord 2019; 248:59-64. [PMID: 30711870 DOI: 10.1016/j.jad.2018.12.017] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 12/03/2018] [Accepted: 12/14/2018] [Indexed: 02/05/2023]
Abstract
BACKGROUND Suicidal ideation (SI) is a common and serious clinical concern in people with major depressive disorder (MDD). Inconsistent evidence suggests that individuals with SI may have a lower measured intelligence quotient (IQ) than those without SI. The aims of this study were to examine SI prevalence and its associations with demographic, clinical variables and IQ in Chinese drug-naïve MDD patients. METHODS 488 drug-naïve Chinese Han patients (male: 203, 41.6%) meeting a DSM-IV diagnosis of MDD were enrolled in a cross-sectional study involving seven hospitals. All participants were asked to complete a series of questionnaires, which include information on socio-demographic and clinical variables. The Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Rating Scale (HAMA) and Brief Psychiatric Rating Scale (BPRS) were also administered. Verbal IQ (VIQ), performance IQ (PIQ) and full-scale IQ (FIQ) scores were measured using the Chinese version of the Wechsler Adult Intelligence Scale-Ⅲ (WAIS-Ⅲ). We categorized patients with SI based on a cut-off score of ≥3 on HAMD item 3. RESULTS An estimated prevalence 32.8% (160/488) of drug-naïve MDD patients experienced SI during the current episode of illness. Patients with SI were more likely to be divorced (x2 = 6.93, p = 0.031), male (x2 = 6.04, p = 0.014), had higher severity of depression and anxiety symptoms (t = -8.14, p < 0.001, t = -3.28, p < 0.001, respectively), comorbid psychotic features (t = -5.71, p < 0.001), and lower FIQ levels (t = -4.21, p < 0.001), when compared to patients without SI. Using logistic regression analysis and adjusting for confounding variables, the following variables were independently associated with SI: divorced marital status compared to married (OR=4.674, 95% CI: 1.676~13.036), severity of depression symptoms (OR=1.312, 95% CI: 1.196~1.440), psychotic features (OR=1.044; 1.012~1.077), and FIQ /PIQ levels which expressed in OR per SD increase in IQ score (OR=0.740, 95% CI: 0.561~0.977; OR=0.744, 95% CI: 0.557~0.994, respectively). LIMITATIONS A cross-sectional study which did not assess the influence of severity of SI. CONCLUSIONS The prevalence of SI in drug-naive Chinese patients with MDD is high, and associated with marital status, severity of depression, psychotic features and measured IQ. Further research is needed to further explore these and other potentially relevant risk factors which might affect clinical outcomes.
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Affiliation(s)
- Xirong Li
- Department of Psychiatry, Shandong Mental Health Center, Jinan, China; Department of Psychiatry, Mental Health Center, West China Hospital, Sichuan University, Chengdu, China; Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Haixia Liu
- Department of Psychiatry, Shandong Mental Health Center, Jinan, China
| | - Ruihua Hou
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - David S Baldwin
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Renjun Li
- Department of Psychiatry, Shandong Mental Health Center, Jinan, China
| | - Kaiyan Cui
- Department of Psychiatry, Shandong Mental Health Center, Jinan, China
| | - Chuanxin Liu
- Department of Psychiatry, Jining Medical University, Jining, China
| | - Qian Sun
- Beijing Anding Hospital of Capital University of Medical Sciences, Beijing, China
| | - Gang Wang
- Beijing Anding Hospital of Capital University of Medical Sciences, Beijing, China
| | - Qingrong Tan
- Department of Psychiatry, Xijing Hospital, the Fourth Military Medical University, Xi'an, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jingping Zhao
- Mental Health Institute, the Second Xiangya Hospital of Central South University, Changsha, China
| | - Yuping Ning
- Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xueli Sun
- Department of Psychiatry, Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
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Trombello JM, Killian MO, Grannemann BD, Rush AJ, Mayes TL, Parsey RV, McInnis M, Jha MK, Ali A, McGrath PJ, Adams P, Oquendo MA, Weissman MM, Carmody TJ, Trivedi MH. The Concise Health Risk Tracking-Self Report: Psychometrics within a placebo-controlled antidepressant trial among depressed outpatients. J Psychopharmacol 2019; 33:185-193. [PMID: 30652941 PMCID: PMC6379122 DOI: 10.1177/0269881118817156] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND/AIMS While substantial prior research has evaluated the psychometric properties of the 12-item Concise Health Risk Tracking-Self Report (CHRT-SR12), a measure of suicide propensity and suicidal thoughts, no prior research has investigated its factor structure, sensitivity to change over time, and other psychometric properties in a placebo-controlled trial of antidepressant medication, nor determined whether symptoms change throughout treatment. METHODS Participants in the multi-site Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study ( n=278) provided data to evaluate the factor structure and sensitivity to change over time of the CHRT-SR12 through eight weeks of a clinical trial in which participants received either placebo or antidepressant medication (sertraline). RESULTS/OUTCOMES Factor analysis confirmed two factors: propensity (comprised of first-order factors including pessimism, helplessness, social support, and despair) and suicidal thoughts. Internal consistency (α's ranged from 0.69-0.92) and external validity were both acceptable, with the total score and propensity factor scores significantly correlated with total scores and single-item suicidal-thoughts scores on the self-report Quick Inventory of Depressive Symptoms and the clinician-rated 17-item Hamilton Rating Scale for Depression. Through analyzing CHRT-SR12 changes over eight treatment weeks, the total score and both the factors decreased regardless of baseline suicidal thoughts. Change in clinician-rated suicidal thoughts was reflected by change in both the total score and propensity factor score. CONCLUSIONS/INTERPRETATION These results confirm the reliability, validity, and applicability of the CHRT-SR12 to a placebo-controlled clinical trial of depressed outpatients receiving antidepressant medication.
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Affiliation(s)
- Joseph M Trombello
- 1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Michael O Killian
- 2 College of Social Work, Florida State University, Tallahassee, FL, USA
| | - Bruce D Grannemann
- 1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Augustus John Rush
- 3 Department of Psychiatry, Duke Medical School, Durham, NC, USA.,5 Duke-National University of Singapore, Singapore
| | - Taryn L Mayes
- 1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Ramin V Parsey
- 6 Department of Psychiatry, Stony Brook University, Stony Brook, NY USA
| | - Melvin McInnis
- 7 Department of Psychiatry, University of Michigan, Ann Arbor, MI USA
| | - Manish K Jha
- 1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Aasia Ali
- 1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Patrick J McGrath
- 8 Department of Psychiatry, Columbia University, New York, NY USA.,9 New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY USA
| | - Phil Adams
- 9 New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY USA
| | - Maria A Oquendo
- 10 Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Myrna M Weissman
- 8 Department of Psychiatry, Columbia University, New York, NY USA.,9 New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY USA
| | - Thomas J Carmody
- 1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Madhukar H Trivedi
- 1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
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Dold M, Bartova L, Fugger G, Kautzky A, Souery D, Mendlewicz J, Papadimitriou GN, Dikeos D, Ferentinos P, Porcelli S, Serretti A, Zohar J, Montgomery S, Kasper S. Major Depression and the Degree of Suicidality: Results of the European Group for the Study of Resistant Depression (GSRD). Int J Neuropsychopharmacol 2018; 21:539-549. [PMID: 29860382 PMCID: PMC6007240 DOI: 10.1093/ijnp/pyy009] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2017] [Accepted: 02/22/2018] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND This European multicenter study aimed to elucidate suicidality in major depressive disorder. Previous surveys suggest a prevalence of suicidality in major depressive disorder of ≥50%, but little is known about the association of different degrees of suicidality with socio-demographic, psychosocial, and clinical characteristics. METHODS We stratified 1410 major depressive disorder patients into 3 categories of suicidality based on the Hamilton Rating Scale for Depression item 3 (suicidality) ratings (0=no suicidality; 1-2=mild/moderate suicidality; 3-4=severe suicidality). Chi-squared tests, analyses of covariance, and Spearman correlation analyses were applied for the data analyses. RESULTS The prevalence rate of suicidality in major depressive disorder amounted to 46.67% (Hamilton Rating Scale for Depression item 3 score ≥1). 53.33% were allocated into the no, 38.44% into the mild/moderate, and 8.23% into the severe suicidality patient group. Due to the stratification of our major depressive disorder patient sample according to different levels of suicidality, we identified some socio-demographic, psychosocial, and clinical variables differentiating from the patient group without suicidality already in presence of mild/moderate suicidality (depressive symptom severity, treatment resistance, psychotic features, add-on medications in general), whereas others separated only when severe suicidality was manifest (inpatient treatment, augmentation with antipsychotics and benzodiazepines, melancholic features, somatic comorbidities). CONCLUSIONS As even mild/moderate suicidality is associated with a failure of achieving treatment response, adequate recognition of this condition should be ensured in the clinical practice.
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Affiliation(s)
- Markus Dold
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Lucie Bartova
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Gernot Fugger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Daniel Souery
- Université Libre de Bruxelles, Brussels, Belgium,Psy Pluriel, Centre Européen de Psychologie Médicale, Brussels, Belgium
| | | | - George N Papadimitriou
- First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition Hospital, Athens, Greece
| | - Dimitris Dikeos
- First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition Hospital, Athens, Greece
| | - Panagiotis Ferentinos
- Second Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Attikon General Hospital, Athens, Greece
| | - Stefano Porcelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Joseph Zohar
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | | | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria,Correspondence: Siegfried Kasper, MD, Professor and Chairman, Medical University of Vienna, Department of Psychiatry and Psychotherapy, Währinger Gürtel 18–20, A-1090 Vienna, Austria ()
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Ostacher MJ, Nierenberg AA, Rabideau D, Reilly-Harrington NA, Sylvia LG, Gold AK, Shesler LW, Ketter TA, Bowden CL, Calabrese JR, Friedman ES, Iosifescu DV, Thase ME, Leon AC, Trivedi MH. A clinical measure of suicidal ideation, suicidal behavior, and associated symptoms in bipolar disorder: Psychometric properties of the Concise Health Risk Tracking Self-Report (CHRT-SR). J Psychiatr Res 2015; 71:126-33. [PMID: 26476489 PMCID: PMC6778403 DOI: 10.1016/j.jpsychires.2015.10.004] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2015] [Revised: 08/11/2015] [Accepted: 10/01/2015] [Indexed: 12/11/2022]
Abstract
OBJECTIVE People with bipolar disorder are at high risk of suicide, but no clinically useful scale has been validated in this population. The aim of this study was to evaluate the psychometric properties in bipolar disorder of the 7- and 12-item versions of the Concise Health Risk Tracking Self-Report (CHRT-SR), a scale measuring suicidal ideation, suicidal behavior, and associated symptoms. METHODS The CHRT was administered to 283 symptomatic outpatients with bipolar I or II disorder who were randomized to receive lithium plus optimized personalized treatment (OPT), or OPT without lithium in a six month longitudinal comparative effectiveness trial. Participants were assessed using structured diagnostic interviews, clinician-rated assessments, and self-report questionnaires. RESULTS The internal consistency (Cronbach α) was 0.80 for the 7-item CHRT-SR and 0.90 for the 12-item CHRT-SR with a consistent factor structure, and three independent factors (current suicidal thoughts and plans, hopelessness, and perceived lack of social support) for the 7-item version. CHRT-SR scores are correlated with measures of depression, functioning, and quality of life, but not with mania scores. CONCLUSIONS The 7- and 12-item CHRT-SR both had excellent psychometric properties in a sample of symptomatic subjects with bipolar disorder. The scale is highly correlated with depression, functioning, and quality of life, but not with mania. Future research is needed to determine whether the CHRT-SR will be able to predict suicide attempts in clinical practice.
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Affiliation(s)
- Michael J. Ostacher
- VA Palo Alto Health Care System, Palo Alto, CA, USA,Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA,Corresponding author. VA Palo Alto Health Care System 3801 Miranda Ave, Mail Code 151-T Palo Alto, CA 94304, USA. (M.J. Ostacher)
| | - Andrew A. Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Dustin Rabideau
- Biostatistics Center, Massachusetts General Hospital, Boston, MA, USA
| | - Noreen A. Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Louisa G. Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Alexandra K. Gold
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Leah W. Shesler
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Terence A. Ketter
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Charles L. Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Joseph R. Calabrese
- Bipolar Disorders Research Center, University Hospital’s Case Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Edward S. Friedman
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Dan V. Iosifescu
- Department of Psychiatry, Icahn School of medicine at Mount Sinai, New York, NY, USA
| | - Michael E. Thase
- Department of Psychiatry, University of Pennsylvania School of Medicine, USA
| | - Andrew C. Leon
- Biostatistics in Psychiatry & Public Health, Weill Cornell Medical College, New York, NY, USA
| | - Madhukar H. Trivedi
- Department of Psychiatry, The University of Texas Southwestern Medical Center, USA
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8
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Wang YY, Jiang NZ, Cheung EFC, Sun HW, Chan RCK. Role of depression severity and impulsivity in the relationship between hopelessness and suicidal ideation in patients with major depressive disorder. J Affect Disord 2015; 183:83-9. [PMID: 26001667 DOI: 10.1016/j.jad.2015.05.001] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2015] [Revised: 03/21/2015] [Accepted: 05/01/2015] [Indexed: 10/23/2022]
Abstract
BACKGROUND Hopelessness, depression and impulsivity all contribute to the development of suicidal ideation in patients with major depressive disorder, but the pathway of these factors to suicidal ideation is not clear. This study examined the meditating effect of depression severity on the relationship between hopelessness and suicidal ideation and explored how this mediating effect was moderated by impulsivity. METHODS A total of 162 patients with major depressive disorder (MDD) completed a structured clinical diagnostic interview and a battery of scales assessing depression severity, hopelessness, suicidal ideation, and impulsivity. Regression analyses with bootstrapping methods were used to examine the mediating and moderating effects of various risk factors. RESULTS Mediation analysis revealed a significant indirect effect of hopelessness on suicidal ideation, and the effect was fully mediated through depression severity. On moderation analysis, the moderating effects of the relationship between depression severity and suicidal ideation were significant in both the medium and high impulsivity groups. LIMITATIONS The present study was limited by the assessment of trait impulsivity and observer-rated depression severity, which might not fully reflect momentary impulsivity and feeling of depression when suicidal ideation occurs. CONCLUSION Depression severity plays a mediator role in the relationship between hopelessness and suicidal ideation and this mechanism is contingent on the levels of impulsivity. MDD patients with higher impulsivity appear to be more likely to have suicidal ideations even when they are less depressed. These findings highlight the importance of impulsivity assessment and alleviation of depressive symptoms to prevent suicidality in patients with MDD.
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Affiliation(s)
- Yan-yu Wang
- Department of Psychology, Weifang Medical University, Weifang, Shandong Province, China; Neuropsychology and Applied Cognitive Neuroscience Laboratory, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Neng-zhi Jiang
- Department of Psychology, Weifang Medical University, Weifang, Shandong Province, China
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administrative Region, Hong Kong, China
| | - Hong-wei Sun
- Department of Psychology, Weifang Medical University, Weifang, Shandong Province, China.
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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9
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Thaipisuttikul P, Ittasakul P, Waleeprakhon P, Wisajun P, Jullagate S. Psychiatric comorbidities in patients with major depressive disorder. Neuropsychiatr Dis Treat 2014; 10:2097-103. [PMID: 25419132 PMCID: PMC4235207 DOI: 10.2147/ndt.s72026] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Psychiatric comorbidities are common in major depressive disorder (MDD). They may worsen outcome and cause economic burden. The primary objective was to examine the prevalence of psychiatric comorbidities in MDD. The secondary objectives were to compare the presence of comorbidities between currently active and past MDD, and between patients with and without suicidal risk. METHODS This was a cross-sectional study. A total of 250 patients with lifetime MDD and age ≥18 years were enrolled. The Mini International Neuropsychiatric Interview (MINI), Thai version, was used to confirm MDD diagnosis and classify comorbidities. MDD diagnosis was confirmed in 190, and 60 patients were excluded due to diagnosis of bipolar disorder. RESULTS Of the 190 MDD patients, 25.8% had current MDD and 74.2% had past MDD. Eighty percent were women. The mean age at enrollment was 50 years, and at MDD onset was 41 years. Most patients were married (53.2%), employed (54.8%), and had ≥12 years of education (66.9%). There were 67 patients (35.3%) with one or more psychiatric comorbidities. Comorbidities included dysthymia (19.5%), any anxiety disorders (21.1%) (panic disorder [6.8%], agoraphobia [5.8%], social phobia [3.7%], obsessive-compulsive disorder [OCD] [4.7%], generalized anxiety disorder [5.3%], and post-traumatic stress disorder [4.2%]), alcohol dependence (0.5%), psychotic disorder (1.6%), antisocial personality (1.1%), and eating disorders (0%). Compared with past MDD, the current MDD group had significantly higher OCD (P<0.001), psychotic disorder (P=0.048), past panic disorder (P=0.017), and suicidal risk (P<0.001). Suicidal risk was found in 32.1% of patients. Patients with suicidal risk had more comorbid anxiety disorder of any type (P=0.019) and psychotic disorder (P=0.032). CONCLUSION Several comorbidities were associated with MDD. Patients with active MDD had higher comorbid OCD, psychotic disorder, past panic disorder, and suicidal risk. Patients with suicide risk had higher comorbid anxiety and psychotic disorders.
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Affiliation(s)
- Papan Thaipisuttikul
- Department of Psychiatry, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Pichai Ittasakul
- Department of Psychiatry, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Punjaporn Waleeprakhon
- Department of Psychiatry, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Pattarabhorn Wisajun
- Department of Psychiatry, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Sudawan Jullagate
- Department of Psychiatry, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
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Malhi GS, Hitching R, Coulston CM, Boyce P, Porter R, Fritz K. Individualized management of unipolar depression. Acta Psychiatr Scand 2013:1-5. [PMID: 23586872 DOI: 10.1111/acps.12119] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
| | | | | | - P. Boyce
- Discipline of Psychiatry; Sydney Medical School; University of Sydney; Sydney; NSW; Australia
| | - R. Porter
- Department of Psychological Medicine; University of Otago; Christchurch; New Zealand
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Fournier JC, Cyranowski JM, Rucci P, Cassano GB, Frank E. The multiple dimensions of the social anxiety spectrum in mood disorders. J Psychiatr Res 2012; 46:1223-30. [PMID: 22771202 PMCID: PMC3539285 DOI: 10.1016/j.jpsychires.2012.06.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2012] [Revised: 05/25/2012] [Accepted: 06/04/2012] [Indexed: 11/15/2022]
Abstract
Major depressive disorder and bipolar spectrum disorders are debilitating conditions associated with severe impairment. The presence of co-occurring social phobia can make the clinical course of these disorders even more challenging. To better understand the nature of social anxiety in the context of ongoing mood disorders, we report the results of exploratory factor analyses of the Social Phobia Spectrum Self-Report Instrument (SHY), a 162-item measure designed to capture the full spectrum of manifestations and features associated with social anxiety experienced across the lifespan. We examined data from 359 adult outpatients diagnosed with major depressive disorder and 403 outpatients diagnosed with a bipolar spectrum disorder. The measure was divided into its two components: the SHY-General (SHY-G), reflecting general social anxiety features, and the SHY-Specific (SHY-S), reflecting anxiety in specific situations. Exploratory factor analyses were conducted for each using tetrachoric correlation matrices and an unweighted least squares estimator. Item invariance was evaluated for important patient subgroups. Five factors were identified for the SHY-G, representing general features of social anxiety: Fear of Social Disapproval, Childhood Social Anxiety, Somatic Social Anxiety, Excessive Agreeableness, and Behavioral Submission. Seven specific-situation factors were identified from the SHY-S: Writing in Public, Dating, Public Speaking, Eating in Public, Shopping Fears, Using Public Restrooms, and Unstructured Social Interactions. The identified dimensions provide clinically valuable information about the nature of the social fears experienced by individuals diagnosed with mood disorders and could help guide the development of tailored treatment strategies for individuals with co-occurring mood disorders and social anxiety.
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Affiliation(s)
- Jay C. Fournier
- Department of Psychiatry, University of Pittsburgh School of Medicine, USA
,Corresponding Author: Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O’Hara Street, Pittsburgh, PA 15213
| | - Jill M. Cyranowski
- Department of Psychiatry, University of Pittsburgh School of Medicine, USA
| | - Paola Rucci
- Department of Medicine and Public Health, University of Bologna, Italy
| | - Giovanni B. Cassano
- Department of Psychiatry, Neurobiology, Pharmacology and Biotechnology, School of Medicine, University of Pisa, Italy
| | - Ellen Frank
- Department of Psychiatry, University of Pittsburgh School of Medicine, USA
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Abstract
This article outlines the role of measurement-based care in the management of antidepressant treatment for patients with unipolar depression. Using measurement-based care, clinicians and researchers have the opportunity to optimize individual treatment and obtain maximum antidepressant treatment response. Measurement-based care breaks down to several simple components: antidepressant dosage, depressive symptom severity, medication tolerability, adherence to treatment, and safety. Quick and easy-to-use, empirically validated assessments are available to monitor these areas of treatment. Utilizing measurement-based care has several steps-screening and antidepressant selection based upon treatment history, followed by assessment-based medication management and ongoing care. Electronic measurement-based care systems have been developed and implemented, further reducing the burden on patients and clinicians. As more treatment providers adopt electronic health care management systems, compatible measurement-based care antidepressant treatment delivery and monitoring systems may become increasingly utilized.
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The relationship between adverse events during selective serotonin reuptake inhibitor treatment for major depressive disorder and nonremission in the suicide assessment methodology study. J Clin Psychopharmacol 2011; 31:31-8. [PMID: 21192140 DOI: 10.1097/jcp.0b013e318205e17b] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Little is known about the association between antidepressant treatment-emergent adverse events and symptom nonremission in major depressive disorder. The objective of the current analysis was to determine whether particular baseline symptoms or treatment-emergent symptoms (adverse events) during the first 2 weeks are associated with nonremission after 8 weeks of treatment with a selective serotonin reuptake inhibitor (SSRI).Outpatients clinically diagnosed with nonpsychotic major depressive disorder were recruited from 6 primary and 9 psychiatric care sites. Participants (n = 206) were treated with an SSRI antidepressant (citalopram [20-40 mg/d], escitalopram [10-20 mg/d], fluoxetine [20-40 mg/d], paroxetine [20-40 mg/d], paroxetine CR [25-37.5 mg/d], or sertraline [50-150 mg/d]) for 8 weeks. Remission was defined as having a score of 5 or less on the 16-item Quick Inventory of Depressive Symptomatology-Clinician-Rated at week 8, or using last observation carried forward. Adverse events were identified using the 55-item Systematic Assessment for Treatment Emergent Events-Systematic Inquiry completed by participants at baseline and week 2.Findings indicated that the emergence of adverse events of weakness/fatigue, strange feeling, and trouble catching breath/hyperventilation at week 2 were independently associated with lack of remission even after controlling for the potential confounders of baseline depressive severity, anxious symptoms, antidepressant medication, chronic depression, race, burden of general medical comorbidity, and time in study. Hearing/seeing things appeared to have a protective effect. In conclusion, during SSRI treatment, the adverse events of weakness/fatigue, feeling strange, and trouble catching breath/hyperventilation are associated with nonremission, possibly due to lower adherence, early attrition, difficulty increasing the dose, and reduced efficacy.
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Screening for suicidality in the emergency department: when must researchers act to protect subjects' interests? Arch Suicide Res 2011; 15:140-50. [PMID: 21541860 DOI: 10.1080/13811118.2011.565271] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The emergency department (ED) is a key site in preventing suicide. Yet there has been very little research on ED screening and interventions targeting the suicidal patient. Conducting research on interventions for preventing suicidal behavior in the ED population may evoke the dilemma of how to fulfill ethical obligations to protect research subjects when doing so can impair the validity of the study. In this paper we present a case study of a research protocol on the utility of routine screening with a brief intervention for suicidal ideation that raised issues regarding researchers' obligation to disclose information about subjects' suicidality to ED staff. After exploring the imperfect relationship between suicidal ideation and completed suicide (i.e., many people with ideation never attempt or commit suicide), we present an analysis of the causal relationship between these phenomena. This leads us to suggest that it should not be mandatory for researchers to disclose to ED staff when a subject reveals suicide ideation in a screening questionnaire-although other preventive measures may be called for. In general, the extent of the duty placed on researchers to intervene on behalf of their subjects should be proportional to the likelihood and magnitude of risk presented to subjects by the underlying condition, and should be balanced against the importance of the research question.
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